Queen’s music catalog is among the most valuable of the rock era — with classics like “Bohemian Rhapsody,” “Another One Bites the Dust,” “Radio Ga Ga,” “39,” “Somebody to Love” and “You’re My Best Friend” as well as the perennial stadium-shakers “We Will Rock You” and “We Are the Champions,” the songs are globally popular and enormously lucrative. One other player was said to be very close in the bidding, but stopped short at $900 million.
Source: Queen Catalog to Be Acquired by Sony Music for £1 Billion
Startups need large amounts of data, storage and chip capacity to be able to train their AI chatbots, which is where regulators believe the tech giants hold too much power. There is some evidence that smaller players are being forced into exclusive, opaque deals to run technology from Nvidia, Microsoft and their rivals, which can give the already dominant players an even bigger advantage.
Officially launching this summer, MicDrop is a real-time (AU, VST3, AAX) plug-in compatible with all major digital audio workstations (DAWs). UMG and SoundLabs’ collaboration will enable UMG artists to create custom vocal models that will be available for their exclusive creative use cases, and not available to the general public.
To create powerful AI models, you need mountains of good data. Amazon is going to great lengths to collect this type of valuable information. The company recently told employees to sign up for Microsoft’s GitHub software-development platform and share their accounts so Amazon can scrape data from GitHub more quickly, Business Insider has learned. This is a key step in Amazon’s efforts to train its upcoming in-house AI model.
